- 5 The Table Shows Student Population Data For A New Year Population High School The School Wants To Project The School 1 (37.09 KiB) Viewed 24 times
5. The table shows student population data for a new Year Population high school. The school wants to project the school
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5. The table shows student population data for a new Year Population high school. The school wants to project the school
5. The table shows student population data for a new Year Population high school. The school wants to project the school's 2007 778 population growth over time. 2008 984 a) [2] Create a scatter plot of population versus time. 2009 998 Call 2007 year 0. Describe the correlation. 2010 1010 b) [2] Perform a linear regression. Interpret the 2011 1018 equation of the line of best fit. 2012 1026 c) [2] Create a residual plot. Does this appear to be a good linear model? Explain. d) [2] Grade 12 was not offered until 2008. How does this information affect the correlational study? Does it make sense to remove the 2007 datum? Explain. e) [2] Repeat the analysis with the outlier removed. Compare the two models. F) [2] Use both models to predict the school's population in 2016. Which model should the principal rely on and why?
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